Programmer Think

Did you know that OpenCV has a built-in method to perform pedestrian detection? OpenCV comes with a pre trained HOG + linear SVM model that can be used to perform pedestrian detection in images and video streams. Today, we use Opencv's own model to detect pedestrians in the video stream. Just open a new file and name it detect Py, and then ad ...

1, Background modeling First, what belongs to the background? It's easy for us to judge which part of a picture is the background subjectively, but the computer can't identify which part is the background, so we have to find a way to tell the computer which part is the background. 1. Frame difference method Because the target in the sc ...

0. Preface opencv has two operations on pixels, one is to operate on a single pixel (point operation), and the other is to operate on the pixels of a region. They can be used separately to achieve different effects Recently, I mainly learned some point operations and some effects that can be achieved through point operations The first i ...

<h2><a id="1OpenCV__0"></a>1.OpenCV Image loading&#xff0c;display&#xff0c; Modify and save</h2> -(CV:: imread) load image -(CV:: namedwindow) create a window named OpenCV namedWindow("OpenCV window", 2)// A value of 2 allows you to resize the window with the mouse -(CV:: imshow) disp ...

1, Draw simple geometry and add text Drawing graphics in opencv is very simple. We only need to use the following common functions. #Draw a line cv2.line() #Draw a circle cv2.circle() #Draw rectangle cv. rectangle() #Draw an ellipse cv.ellipse() #Add text to image cv.putText() In all the above functions, we can see some common parameters, as ...

Dynamic drawing using mouse events We are already OpenCV Python practice (3) -- drawing graphics and text in OpenCV Learned how to draw graphics and text using OpenCV. In this part, we will further use the drawing functions learned to learn how to use mouse events to perform dynamic drawing. Drawing graphics dynamically In order to use m ...

1. Cosine similarity from PIL import Image from numpy import average, linalg, dot def get_thumbnail(image, size=(30, 30), greyscale=False): image = image.resize(size, Image.ANTIALIAS) if greyscale: image = image.convert('L') return image def image_similarity_vectors_via_numpy(image1, image2): image1 = get_thumbnail( ...

Original link: http://www.juzicode.com/opencv-python-matchtemplate Return to opencv Python tutorial Template matching can find the feature image in the source image. The feature image is generally a rectangular image. In the previous article, orange fungus also introduced some methods about "matching" function, such as morphological ...

Installation steps: 1. Update the software warehouse and use domestic sources: configure and use Ali's open source image in CentOS 1) Back up the original file / etc / yum.com repos. d 2) Download the repo file of the corresponding version of the system from the Alibaba open source image site: #CentOS8 [root@VM-0-8-centos yum.repos.d]# wget ...

K-nearest neighbor algorithm is one of the simplest machine learning algorithms. It is mainly used to divide objects into known classes and is widely used in life. For example, if a coach wants to select a group of long-distance runners, how to select them? He may use the k-nearest neighbor algorithm. He will choose those who are tall, long leg ...